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Updated: Jan 9, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
Ecological zoning management of Fenhe River Basin based on the ecosystem "structure-form-function" framework
Qiang Li1, Xueyi Shi2, Zhongqiu Zhao2
1College of Architecture and Design, Jiangxi University of Science and Technology, Ganzhou, 341000, China; Institute of High-Quality Development of Old Revolutionary Areas in the New Era, Ganzhou, 341000, China; School of Land Science and Technology, China University of Geosciences (Beijing), Beijing, 100083, China.
The Fenhe River Basin
Area of Science:
- Ecological sustainability science
- Landscape ecology
- Environmental management
Background:
- The Fenhe River Basin, a vital semi-arid ecological zone in the Yellow River Basin, faces significant social-ecological changes.
- These changes lead to ecosystem fragmentation and functional degradation, necessitating urgent research into structure-form-function (SFF) coupling mechanisms for effective restoration.
- Existing restoration efforts are hindered by a lack of understanding of these complex interactions.
Purpose of the Study:
- To quantify the coupling mechanisms of ecosystem structure-form-function (SFF) in the Fenhe River Basin.
- To analyze the degradation characteristics and driving forces of ecosystem services (ESs) from 2000 to 2020.
- To propose differentiated management strategies based on identified ecological zones and driving mechanisms.
Main Methods:
- Complex network analysis to understand system interdependencies.
- Mediation effect testing to identify causal pathways.
- Multi-scale geographically weighted regression (MGWR) to analyze spatial variations in driving factors.
Main Results:
- Ecosystem services (ESs) show degradation in the central basin with fluctuations at edges.
- Habitat quality and soil conservation/water yield exhibit trade-offs, while water yield and soil conservation show mixed trade-offs and synergies across regions.
- Driving mechanisms shifted from natural dominance to human influence and synergistic driving, with key factors evolving from elevation to cropland and edge density.
Conclusions:
- The study identified six distinct ecological zones requiring tailored management strategies.
- A novel three-level policy loop (driver identification-regulation-feedback) enhances landscape sustainability science.
- Findings offer pathways for semi-arid basins to adopt collaborative SFF governance for improved ecological resilience.
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